SlideShare ist ein Scribd-Unternehmen logo
1 von 78
Chapter 8. Pipelining
Overview
 Pipelining is widely used in modern
processors.
 Pipelining improves system performance in
terms of throughput.[No of work done at a
given time]
 Pipelined organization requires sophisticated
compilation techniques.
Basic Concepts
Making the Execution of
Programs Faster
 Use faster circuit technology to build the
processor and the main memory.
 Arrange the hardware so that more than one
operation can be performed at the same time.
 In the latter way, the number of operations
performed per second is increased even
though the elapsed time needed to perform
any one operation is not changed.
pipeline
 It is technique of decomposing a sequential
process into suboperation, with each
suboperation completed in dedicated
segment.
 Pipeline is commonly known as an assembly
line operation.
 It is similar like assembly line of car
manufacturing.
 First station in an assembly line set up a
chasis, next station is installing the engine,
another group of workers fitting the body.
Traditional Pipeline Concept
Laundry Example
Ann, Brian, Cathy, Dave
each have one load of clothes
to wash, dry, and fold
Washer takes 30 minutes
Dryer takes 40 minutes
“Folder” takes 20 minutes
A B C D
Traditional Pipeline Concept
 Sequential laundry takes 6
hours for 4 loads
 If they learned pipelining,
how long would laundry
take?
A
B
C
D
30 40 20 30 40 20 30 40 20 30 40 20
6 PM 7 8 9 10 11 Midnight
Time
Traditional Pipeline Concept
Pipelined laundry takes
3.5 hours for 4 loads
A
B
C
D
6 PM 7 8 9 10 11 Midnight
T
a
s
k
O
r
d
e
r
Time
30 40 40 40 40 20
Traditional Pipeline Concept
 Pipelining doesn’t help
latency of single task, it
helps throughput of entire
workload
 Pipeline rate limited by
slowest pipeline stage
 Multiple tasks operating
simultaneously using
different resources
 Potential speedup = Number
pipe stages
 Unbalanced lengths of pipe
stages reduces speedup
 Time to “fill” pipeline and
time to “drain” it reduces
speedup
 Stall for Dependences
A
B
C
D
6 PM 7 8 9
T
a
s
k
O
r
d
e
r
Time
30 40 40 40 40 20
Idea of pipelining in computer
 The processor execute the program by
fetching and executing instructions. One after
the other.
 Let Fi and Ei refer to the fetch and execute
steps for instruction Ii
Use the Idea of Pipelining in a
Computer
F
1
E
1
F
2
E
2
F
3
E
3
I1 I2 I3
(a) Sequential execution
Instruction
fetch
unit
Execution
unit
Interstage buffer
B1
(b) Hardware organization
Time
F1 E1
F2 E2
F3 E3
I1
I2
I3
Instruction
(c) Pipelined execution
Figure 8.1. Basic idea of instruction pipelining.
Clock cycle 1 2 3 4
Time
Fetch + Execution
Contd.,
 Computer that has two separate hardware
units, one for fetching and another for
executing them.
 the instruction fetched by the fetch unit is
deposited in an intermediate buffer B1.
 This buffer needed to enable the execution
unit while fetch unit fetching the next
instruction.
8.1(c)
 The computer is controlled by a clock.
 Any instruction fetch and execute steps
completed in one clock cycle.
Use the Idea of Pipelining in a
Computer
F4I4
F1
F2
F3
I1
I2
I3
D1
D2
D3
D4
E1
E2
E3
E4
W1
W2
W3
W4
Instruction
Figure 8.2. A 4­stage pipeline.
Clock cycle 1 2 3 4 5 6 7
(a) Instruction execution divided into four steps
F : Fetch
instruction
D : Decode
instruction
and fetch
operands
E: Execute
operation
W : Write
results
Interstage buffers
(b) Hardware organization
B1 B2 B3
Time
Fetch + Decode
+ Execution + Write
Textbook page: 457
 Fetch(F)- read the instruction from the memory
 Decode(D)- Decode the instruction and fetch
the source operand
 Execute(E)- perform the operation specified by
the instruction
 Write(W)- store the result in the destination
location
Role of Cache Memory
 Each pipeline stage is expected to complete in one
clock cycle.
 The clock period should be long enough to let the
slowest pipeline stage to complete.
 Faster stages can only wait for the slowest one to
complete.
 Since main memory is very slow compared to the
execution, if each instruction needs to be fetched
from main memory, pipeline is almost useless.[ten
times greater than the time needed to perform
pipeline stage]
 Fortunately, we have cache.
Pipeline Performance
 The potential increase in performance
resulting from pipelining is proportional to the
number of pipeline stages.
 However, this increase would be achieved
only if all pipeline stages require the same
time to complete, and there is no interruption
throughout program execution.
 Unfortunately, this is not true.
 Floating point may involve many clock cycle
Pipeline Performance
F1
F2
F3
I1
I2
I3
E1
E2
E3
D1
D2
D3
W1
W2
W3
Instruction
F4 D4I4
Clock cycle 1 2 3 4 5 6 7 8 9
Figure 8.3. Effect of an execution operation taking more than one clock cycle.
E4
F5I5 D5
Time
E5
W4
Pipeline Performance
 The previous pipeline is said to have been stalled for two clock
cycles.
 Any condition that causes a pipeline to stall is called a hazard.
 Data hazard – any condition in which either the source or the
destination operands of an instruction are not available at the
time expected in the pipeline. So some operation has to be
delayed, and the pipeline stalls.
 Instruction (control) hazard – a delay in the availability of an
instruction causes the pipeline to stall.[cache miss]
 Structural hazard – the situation when two instructions require
the use of a given hardware resource at the same time.
Pipeline Performance
F1
F2
F3
I1
I2
I3
D1
D2
D3
E1
E2
E3
W1
W2
W3
Instruction
Figure 8.4. Pipeline stall caused by a cache miss in F2.
1 2 3 4 5 6 7 8 9Clock cycle
(a) Instruction execution steps in successive clock cycles
1 2 3 4 5 6 7 8Clock cycle
Stage
F: Fetch
D: Decode
E: Execute
W: Write
F1 F2 F3
D1 D2 D3idle idle idle
E1 E2 E3idle idle idle
W1 W2idle idle idle
(b) Function performed by each processor stage in successive clock cycles
9
W3
F2 F2 F2
Time
Time
Idle periods –
stalls (bubbles)
Instruction
hazard(Cache
miss)
Decode unit is idle
in cycles 3 through
5, Execute unit idle
in cycle 4 through 6
and write unit is idle
in cycle 5 through 7
such idle period is
called stalls.
Pipeline Performance
F1
F2
F3
I1
I2 (Load)
I3
E1
M2
D1
D2
D3
W1
W2
Instruction
F4I4
Clock cycle 1 2 3 4 5 6 7
Figure 8.5. Effect of a Load instruction on pipeline timing.
F5I5 D5
Time
E2
E3 W3
E4D4
Load X(R1), R2
Structural
hazard
The memory address, X+(R1) is computed in step E2in cycle4, then memory
access takes place in cycle5. the operand read from memory is written into
register R2 in cycle 6[Execution takes 2 cycles] it stalls pipeline to stall for one
cycle. Bcox both instruction I2 and I3 require access of register file in cycle 6.
Pipeline Performance
 Again, pipelining does not result in individual
instructions being executed faster; rather, it is the
throughput that increases.
 Throughput is measured by the rate at which
instruction execution is completed.
 Pipeline stall causes degradation in pipeline
performance.
 We need to identify all hazards that may cause the
pipeline to stall and to find ways to minimize their
impact.
Quiz
 Four instructions, the I2 takes two clock
cycles for execution. Pls draw the figure for 4-
stage pipeline, and figure out the total cycles
needed for the four instructions to complete.
Data Hazards
Data Hazards
 We must ensure that the results obtained when instructions are
executed in a pipelined processor are identical to those obtained
when the same instructions are executed sequentially.
 Hazard occurs
A ← 3 + A
B ← 4 × A
 No hazard
A ← 5 × C
B ← 20 + C
 When two operations depend on each other, they must be
executed sequentially in the correct order.
 Another example:
Mul R2, R3, R4
Add R5, R4, R6
Data Hazards
F1
F2
F3
I1 (Mul)
I2 (Add)
I3
D1
D3
E1
E3
E2
W3
Instruction
Figure 8.6. Pipeline stalled by data dependency between D2 and W1.
1 2 3 4 5 6 7 8 9Clock cycle
W1
D2A W2
F4 D4 E4 W4I4
D2
Time
Figure 8.6. Pipeline stalled by data dependency between D2 and W1.
Operand Forwarding
 Instead of from the register file, the second
instruction can get data directly from the
output of ALU after the previous instruction is
completed.
 A special arrangement needs to be made to
“forward” the output of ALU to the input of
ALU.
Register
file
SRC1 SRC2
RSLT
Destination
Source 1
Source 2
(a) Datapath
ALU
E: Execute
(ALU)
W: Write
(Register file)
SRC1,SRC2 RSLT
(b) Position of the source and result registers in the processor pipeline
Figure 8.7. Operand forw arding in a pipelined processor.
Forwarding path
Handling Data Hazards in
Software
 Let the compiler detect and handle the
hazard:
I1: Mul R2, R3, R4
NOP
NOP
I2: Add R5, R4, R6
 The compiler can reorder the instructions to
perform some useful work during the NOP
slots.
Side Effects
 The previous example is explicit and easily detected.
 Sometimes an instruction changes the contents of a register
other than the one named as the destination.
 When a location other than one explicitly named in an instruction
as a destination operand is affected, the instruction is said to
have a side effect. (Example?)
 Example: conditional code flags:
Add R1, R3
AddWithCarry R2, R4
 Instructions designed for execution on pipelined hardware should
have few side effects.
Instruction Hazards
Overview
 Whenever the stream of instructions supplied
by the instruction fetch unit is interrupted, the
pipeline stalls.
 Cache miss
 Branch
Unconditional Branches
F2I2 (Branch)
I3
Ik
E2
F3
Fk Ek
Fk+1 Ek+1Ik+1
Instruction
Figure 8.8. An idle cycle caused by a branch instruction.
Execution unit idle
1 2 3 4 5Clock cycle
Time
F1I1 E1
6
X
Unconditional Branches
 The time lost as a result of a branch
instruction is referred to as the branch
penalty.
 The previous example instruction I3 is
wrongly fetched and branch target address k
will discard the i3.
 Reducing the branch penalty requires the
branch address to be computed earlier in the
pipeline.
 Typically the Fetch unit has dedicated h/w
which will identify the branch target address
as quick as possible after an instruction is
fetched.
Branch Timing
X
Figure 8.9. Branch timing.
F1 D1 E1 W1
I2 (Branch)
I1
1 2 3 4 5 6 7Clock cycle
F2 D2
F3 X
Fk Dk Ek
Fk+1 Dk+1
I3
Ik
Ik+1
Wk
Ek+1
(b) Branch address computed in Decode stage
F1 D1 E1 W1
I2 (Branch)
I1
1 2 3 4 5 6 7Clock cycle
F2 D2
F3
Fk Dk Ek
Fk+1 Dk+1
I3
Ik
Ik+1
Wk
Ek+1
(a) Branch address computed in Execute stage
E2
D3
F4 XI4
8
Time
Time
- Branch penalty
- Reducing the penalty
Instruction Queue and Prefetching
 Either cache (or) branch instruction stalls the
pipeline.
 Many processor employs dedicated fetch unit
which will fetch the instruction and put them
into a queue.
 It can store several instruction at a time.
 A separate unit called dispatch unit, takes
instructions from the front of the queue and
send them to the execution unit.
Instruction Queue and
Prefetching
F : Fetch
instruction
E : Execute
instruction
W : Write
results
D : Dispatch/
Decode
Instruction queue
Instruction fetch unit
Figure 8.10. Use of an instruction queue in the hardware organization of Figure 8.2b.
unit
Conditional Braches
 A conditional branch instruction introduces
the added hazard caused by the dependency
of the branch condition on the result of a
preceding instruction.
 The decision to branch cannot be made until
the execution of that instruction has been
completed.
 Branch instructions represent about 20% of
the dynamic instruction count of most
programs.
Delayed Branch
 The instructions in the delay slots are always
fetched. Therefore, we would like to arrange
for them to be fully executed whether or not
the branch is taken.
 The objective is to place useful instructions in
these slots.
 The effectiveness of the delayed branch
approach depends on how often it is possible
to reorder instructions.
Delayed Branch
Add
LOOP Shift_left R1
Decrement
Branch=0
R2
LOOP
NEXT
(a) Original program loop
LOOP Decrement R2
Branch=0
Shift_left
LOOP
R1
NEXT
(b) Reordered instructions
Figure 8.12. Reordering of instructions for a delayed branch.
Add
R1,R3
R1,R3
Delayed Branch
F E
F E
F E
F E
F E
F E
F E
Instruction
Decrement
Branch
Shift (delay slot)
Figure 8.13. Execution timing showing the delay slot being filled
during the last two passes through the loop in Figure 8.12.
Decrement (Branch taken)
Branch
Shift (delay slot)
Add (Branch not taken)
1 2 3 4 5 6 7 8Clock cycle
Time
Branch Prediction
 To predict whether or not a particular branch will be taken.
 Simplest form: assume branch will not take place and continue to
fetch instructions in sequential address order.
 Until the branch is evaluated, instruction execution along the
predicted path must be done on a speculative basis.
 Speculative execution: instructions are executed before the
processor is certain that they are in the correct execution
sequence.
 Need to be careful so that no processor registers or memory
locations are updated until it is confirmed that these instructions
should indeed be executed.
Incorrectly Predicted Branch
F1
F2
I1  (Compare)
I2 (Branch>0)
I3
D1 E1 W1
F3
F4
Fk Dk
D3 X
XI4
Ik
Instruction
Figure 8.14. Timing when a branch decision has been incorrectly predicted
as not taken.
E2
Clock cycle 1 2 3 4 5 6
D2/P2
Time
Branch Prediction
 Better performance can be achieved if we arrange
for some branch instructions to be predicted as
taken and others as not taken.
 Use hardware to observe whether the target
address is lower or higher than that of the branch
instruction.
 Let compiler include a branch prediction bit.
 So far the branch prediction decision is always the
same every time a given instruction is executed –
static branch prediction.
Influence on
Instruction Sets
Overview
 Some instructions are much better suited to
pipeline execution than others.
 Addressing modes
 Conditional code flags
Addressing Modes
 Addressing modes include simple ones and
complex ones.
 In choosing the addressing modes to be
implemented in a pipelined processor, we
must consider the effect of each addressing
mode on instruction flow in the pipeline:
 Side effects
 The extent to which complex addressing modes cause
the pipeline to stall
 Whether a given mode is likely to be used by compilers
Recall
F1
F2
F3
I1
I2 (Load)
I3
E1
M2
D1
D2
D3
W1
W2
Instruction
F4I4
Clock cycle 1 2 3 4 5 6 7
Figure 8.5. Effect of a Load instruction on pipeline timing.
F5I5 D5
Time
E2
E3 W3
E4D4
Load X(R1), R2
Load (R1), R2
Complex Addressing Mode
F
F D
D E
X +[R1] [X +[R1]] [[X +[R1]]]Load
Next instruction
(a) Complex addressing mode
W
1 2 3 4 5 6 7Clock cycle
Time
W
Forward
Load (X(R1)), R2
Simple Addressing Mode
X + [R1]F D
F
F
F D
D
D
E
[X +[R1]]
[[X +[R1]]]
Add
Load
Load
Next instruction
(b) Simple addressing mode
W
W
W
W
Add #X, R1, R2
Load (R2), R2
Load (R2), R2
Addressing Modes
 In a pipelined processor, complex addressing
modes do not necessarily lead to faster execution.
 Advantage: reducing the number of instructions /
program space
 Disadvantage: cause pipeline to stall / more
hardware to decode / not convenient for compiler to
work with
 Conclusion: complex addressing modes are not
suitable for pipelined execution.
Addressing Modes
 Good addressing modes should have:
 Access to an operand does not require more than one
access to the memory
 Only load and store instruction access memory operands
 The addressing modes used do not have side effects
 Register, register indirect, index
Conditional Codes
 If an optimizing compiler attempts to reorder
instruction to avoid stalling the pipeline when
branches or data dependencies between
successive instructions occur, it must ensure
that reordering does not cause a change in
the outcome of a computation.
 The dependency introduced by the condition-
code flags reduces the flexibility available for
the compiler to reorder instructions.
Conditional Codes
Add
Compare
Branch=0
R1,R2
R3,R4
. . .
Compare
Add
Branch=0
R3,R4
R1,R2
. . .
(a) A program fragment
(b) Instructions reordered
Figure 8.17. Instruction reordering.
Conditional Codes
 Two conclusion:
 To provide flexibility in reordering instructions, the
condition-code flags should be affected by as few
instruction as possible.
 The compiler should be able to specify in which
instructions of a program the condition codes are
affected and in which they are not.
Datapath and Control
Considerations
Original Design
Memory bus
data lines
Figure 7.8. Three­b us organization of the datapath.
Bus A Bus B Bus C
Instruction
decoder
PC
Register
file
Constant 4
ALU
MDR
A
B
R
MUX
Incrementer
Address
lines
MAR
IR
Instruction cache
Figure 8.18. Datapath modified for pipelined execution, with
Bus A
Bus B
Control signal pipeline
IMAR
PC
Register
file
ALU
Instruction
A
B
R
decoder
Incrementer
MDR/Write
Instruction
queue
Bus C
Data cache
Memory address
MDR/ReadDMAR
Memory address
(Instruction fetches)
(Data access)
interstage buffers at the input and output of the ALU.
Pipelined Design
- Separate instruction and data caches
- PC is connected to IMAR
- DMAR
- Separate MDR
- Buffers for ALU
- Instruction queue
- Instruction decoder output
- Reading an instruction from the instruction cache
- Incrementing the PC
- Decoding an instruction
- Reading from or writing into the data cache
- Reading the contents of up to two regs
- Writing into one register in the reg file
- Performing an ALU operation
Superscalar Operation
 Pipeline architecture can executes several
instruction concurrently.
 Many instructions are present in the pipeline at
the same time,but they are in different stages of
their execution.
 While instruction being fetched at the same time
another instruction being decoded stage (or)
execution.
 One instruction completes execution in each
clock cycle.
Overview
 The maximum throughput of a pipelined processor
is one instruction per clock cycle.
 If we equip the processor with multiple processing
units to handle several instructions in parallel in
each processing stage, several instructions start
execution in the same clock cycle – multiple-issue.
 Processors are capable of achieving an instruction
execution throughput of more than one instruction
per cycle – superscalar processors.
 Multiple-issue requires a wider path to the cache
and multiple execution units to keep the instruction
queue to be filled.
 The superscalar operation have multiple
execution units.
Superscalar
W : Write
results
Dispatch
unit
Instruction queue
Floating­
point
unit
Integer
unit
Figure 8.19. A processor with two execution units.
F : Instruction
fetch unit
Architecture
 The above fig. shows the superscalar processor
with two execution unit.
 The Fetch unit capable of reading two instruction
at a time and store it in the queue.
 The dispatch unit decodes upto two instruction
from the front of queue(one is integer and another
one is floating point) dispatched in the same clock
cycle.
 Processor’s program control unit – capable of
fetching and decoding several instruction
concurrently. It can issue multiple instructions
simultaneously.
Timing
I1 (Fadd) D1
D2
D3
D4
E1A E1B E1C
E2
E3 E3 E3
E4
W1
W2
W3
W4
I2 (Add)
I3  (Fsub)
I4  (Sub)
Figure 8.20. An example of instruction execution flow in the processor of Figure 8.19,
assuming no hazards are encountered.  
1 2 3 4 5 6Clock cycle
Time
F1
F2
F3
F4
7
Assume Floating point takes 3 clock cycles
5. Assume floating point unit as a 3 stage pipeline. So
it can accept a new instruction for execution in each
clock cycle. During cycle 4 the execution of I1 in
progress but it will enter the different stages inside
the execution pipleline, so this unit accept for I3 for
execution.
6. The integer unit can accept new instruction for
execution because I2 has entered into the write
stage.
Out-of-Order Execution
 Hazards
 Exceptions
 Imprecise exceptions
 Precise exceptions
I1 (Fadd) D1
D2
D3
D4
E1A E1B E1C
E2
E3A E3B E3C
E4
W1
W2
W3
W4
I2 (Add)
I3
 (Fsub)
I4
 (Sub)
1 2 3 4 5 6Clock cycle
Time
(a) Delayed write
F1
F2
F3
F4
7
Execution Completion
 It is desirable to used out-of-order execution, so that an
execution unit is freed to execute other instructions as soon as
possible.
 At the same time, instructions must be completed in program
order to allow precise exceptions.
 The use of temporary registers
 Commitment unit
I1 (Fadd) D1
D2
D3
D4
E1A E1B E1C
E2
E3A E3B E3C
E4
W1
W2
W3
W4
I2 (Add)
I3
 (Fsub)
I4
 (Sub)
1 2 3 4 5 6Clock cycle
Time
(b) Using temporary registers
TW2
TW4
7
F1
F2
F3
F4
 If I2 depends on the result of I1, the execution of
I2 will be delayed. These dependencies are handled
correctly,as long as the execution of the instruction
will not be delayed.
 one more reason which delays the execution is,
 Exception
Two causes:
 Bus error
 Illegal operation(divide by zero)
Two types of Exception
* Imprecise * Precise
 Imprecise- the result of I2 written into RF during cycle
4. suppose I1 causes an exception, the processor
allows to complete execution of succeeding
instruction(I2) is said to have imprecise exception.
 Precise-in imprecise exception, consistent state is not
guaranteed, when an exception occurs.(The
processor will not allow to write the succeeding
instruction)
 In consistent state, the result of the instruction must
be written into the program order(ie. The I2 must be
allow to written till cycle 6.
 The integer execution unit has to retain the
result until cycle 6 and it cannot accept
instruction I4 until cycle 6.
 Thus, in this method the output is partially
executed (or) discarded.
I1 (Fadd) D1
D2
E1A E1B E1C
E2
W1
W2
I2 (Add)
1 2 3 4 5 6Clock cycle
Time
F1
F2
7
 If an external interrupt is received, the dispatch
unit stops reading new instructions from instruction
queue, and the instruction remaining in the queue
are discarded.
Execution Completion
 In precise exception, the results are temporarily stored into the
temp register and later they are transferred to the permanent
registers in correct program order.
 Thus, two write operations TW and W are carried out.
 The step W are called commitment step(temp reg to perm
register)
 TW- write into a temp registers
 W- Transfer the contents back to the permanent reg
I1 (Fadd) D1
D2
E1A E1B E1C
E2
W1
W2
I2 (Add)
1 2 3 4 5 6Clock cycle
TW2
7
F1
F2
Register renaming
 A temporary register assumes the role of the
permanent register whose data it is holding
and is given the same name.
Performance
Considerations
Overview
 The execution time T of a program that has a
dynamic instruction count N is given by:
where S is the average number of clock cycles it
takes to fetch and execute one instruction, and
R is the clock rate.
 Instruction throughput is defined as the number
of instructions executed per second.
R
SN
T
×
=
S
R
Ps =
Overview
 An n-stage pipeline has the potential to increase the
throughput by n times.
 However, the only real measure of performance is
the total execution time of a program.
 Higher instruction throughput will not necessarily
lead to higher performance.
 Two questions regarding pipelining
 How much of this potential increase in instruction throughput can be
realized in practice?
 What is good value of n?
Number of Pipeline Stages
 Since an n-stage pipeline has the potential to
increase the throughput by n times, how about we
use a 10,000-stage pipeline?
 As the number of stages increase, the probability of
the pipeline being stalled increases.
 The inherent delay in the basic operations
increases.
 Hardware considerations (area, power, complexity,
…)

Weitere ähnliche Inhalte

Was ist angesagt?

Pipelining
PipeliningPipelining
PipeliningAJAL A J
 
Control Units : Microprogrammed and Hardwired:control unit
Control Units : Microprogrammed and Hardwired:control unitControl Units : Microprogrammed and Hardwired:control unit
Control Units : Microprogrammed and Hardwired:control unitabdosaidgkv
 
Register Reference Instructions | Computer Science
Register Reference Instructions | Computer ScienceRegister Reference Instructions | Computer Science
Register Reference Instructions | Computer ScienceTransweb Global Inc
 
Register transfer language
Register transfer languageRegister transfer language
Register transfer languageSanjeev Patel
 
Pipeline processing - Computer Architecture
Pipeline processing - Computer Architecture Pipeline processing - Computer Architecture
Pipeline processing - Computer Architecture S. Hasnain Raza
 
Input output organization
Input output organizationInput output organization
Input output organizationabdulugc
 
Concept of Pipelining
Concept of PipeliningConcept of Pipelining
Concept of PipeliningSHAKOOR AB
 
Modes Of Transfer in Input/Output Organization
Modes Of Transfer in Input/Output OrganizationModes Of Transfer in Input/Output Organization
Modes Of Transfer in Input/Output OrganizationMOHIT AGARWAL
 
Computer architecture input output organization
Computer architecture input output organizationComputer architecture input output organization
Computer architecture input output organizationMazin Alwaaly
 
Unit 3 basic processing unit
Unit 3   basic processing unitUnit 3   basic processing unit
Unit 3 basic processing unitchidabdu
 
Control Unit Design
Control Unit DesignControl Unit Design
Control Unit DesignVinit Raut
 
Cache performance considerations
Cache performance considerationsCache performance considerations
Cache performance considerationsSlideshare
 
INSTRUCTION LEVEL PARALLALISM
INSTRUCTION LEVEL PARALLALISMINSTRUCTION LEVEL PARALLALISM
INSTRUCTION LEVEL PARALLALISMKamran Ashraf
 
8257 DMA Controller
8257 DMA Controller8257 DMA Controller
8257 DMA ControllerShivamSood22
 
Basic ops concept of comp
Basic ops  concept of compBasic ops  concept of comp
Basic ops concept of compgaurav jain
 
Addressing modes of 8051
Addressing modes of 8051Addressing modes of 8051
Addressing modes of 8051SARITHA REDDY
 
Cache memory
Cache memoryCache memory
Cache memoryAnuj Modi
 
Data transfer and manipulation
Data transfer and manipulationData transfer and manipulation
Data transfer and manipulationSanjeev Patel
 
Accessing I/O Devices
Accessing I/O DevicesAccessing I/O Devices
Accessing I/O DevicesSlideshare
 

Was ist angesagt? (20)

Pipelining
PipeliningPipelining
Pipelining
 
Control Units : Microprogrammed and Hardwired:control unit
Control Units : Microprogrammed and Hardwired:control unitControl Units : Microprogrammed and Hardwired:control unit
Control Units : Microprogrammed and Hardwired:control unit
 
Register Reference Instructions | Computer Science
Register Reference Instructions | Computer ScienceRegister Reference Instructions | Computer Science
Register Reference Instructions | Computer Science
 
Register transfer language
Register transfer languageRegister transfer language
Register transfer language
 
Pipeline processing - Computer Architecture
Pipeline processing - Computer Architecture Pipeline processing - Computer Architecture
Pipeline processing - Computer Architecture
 
Input output organization
Input output organizationInput output organization
Input output organization
 
Concept of Pipelining
Concept of PipeliningConcept of Pipelining
Concept of Pipelining
 
Modes Of Transfer in Input/Output Organization
Modes Of Transfer in Input/Output OrganizationModes Of Transfer in Input/Output Organization
Modes Of Transfer in Input/Output Organization
 
Computer architecture input output organization
Computer architecture input output organizationComputer architecture input output organization
Computer architecture input output organization
 
Unit 3 basic processing unit
Unit 3   basic processing unitUnit 3   basic processing unit
Unit 3 basic processing unit
 
Control Unit Design
Control Unit DesignControl Unit Design
Control Unit Design
 
Cache performance considerations
Cache performance considerationsCache performance considerations
Cache performance considerations
 
INSTRUCTION LEVEL PARALLALISM
INSTRUCTION LEVEL PARALLALISMINSTRUCTION LEVEL PARALLALISM
INSTRUCTION LEVEL PARALLALISM
 
8257 DMA Controller
8257 DMA Controller8257 DMA Controller
8257 DMA Controller
 
Basic ops concept of comp
Basic ops  concept of compBasic ops  concept of comp
Basic ops concept of comp
 
Addressing modes of 8051
Addressing modes of 8051Addressing modes of 8051
Addressing modes of 8051
 
Cache memory
Cache memoryCache memory
Cache memory
 
Data transfer and manipulation
Data transfer and manipulationData transfer and manipulation
Data transfer and manipulation
 
Accessing I/O Devices
Accessing I/O DevicesAccessing I/O Devices
Accessing I/O Devices
 
Data Hazard and Solution for Data Hazard
Data Hazard and Solution for Data HazardData Hazard and Solution for Data Hazard
Data Hazard and Solution for Data Hazard
 

Andere mochten auch

Andere mochten auch (7)

pipelining
pipeliningpipelining
pipelining
 
Instruction pipelining
Instruction pipeliningInstruction pipelining
Instruction pipelining
 
Data manipulation instructions
Data manipulation instructionsData manipulation instructions
Data manipulation instructions
 
Pipeline
PipelinePipeline
Pipeline
 
Pipelining In computer
Pipelining In computer Pipelining In computer
Pipelining In computer
 
Virtual memory
Virtual memoryVirtual memory
Virtual memory
 
Pipelining and vector processing
Pipelining and vector processingPipelining and vector processing
Pipelining and vector processing
 

Ähnlich wie pipelining

print.pptx
print.pptxprint.pptx
print.pptxkalai75
 
Pipelining and co processor.
Pipelining and co processor.Pipelining and co processor.
Pipelining and co processor.Piyush Rochwani
 
CPU Pipelining and Hazards - An Introduction
CPU Pipelining and Hazards - An IntroductionCPU Pipelining and Hazards - An Introduction
CPU Pipelining and Hazards - An IntroductionDilum Bandara
 
Computer organisation and architecture .
Computer organisation and architecture .Computer organisation and architecture .
Computer organisation and architecture .MalligaarjunanN
 
Pipelining 16 computers Artitacher pdf
Pipelining   16 computers Artitacher  pdfPipelining   16 computers Artitacher  pdf
Pipelining 16 computers Artitacher pdfMadhuGupta99385
 
Pipelining in Computer System Achitecture
Pipelining in Computer System AchitecturePipelining in Computer System Achitecture
Pipelining in Computer System AchitectureYashiUpadhyay3
 
PIPELINE INTERRUPTS
PIPELINE INTERRUPTSPIPELINE INTERRUPTS
PIPELINE INTERRUPTSM R Karthik
 
Pipeline & Nonpipeline Processor
Pipeline & Nonpipeline ProcessorPipeline & Nonpipeline Processor
Pipeline & Nonpipeline ProcessorSmit Shah
 
Pipelining of Processors Computer Architecture
Pipelining of  Processors Computer ArchitecturePipelining of  Processors Computer Architecture
Pipelining of Processors Computer ArchitectureHaris456
 
A survey of paradigms for building and
A survey of paradigms for building andA survey of paradigms for building and
A survey of paradigms for building andcseij
 
pipelining ppt.pdf
pipelining ppt.pdfpipelining ppt.pdf
pipelining ppt.pdfWilliamTom9
 
L4 speeding-up-execution
L4 speeding-up-executionL4 speeding-up-execution
L4 speeding-up-executionrsamurti
 

Ähnlich wie pipelining (20)

Pipelining in computer architecture
Pipelining in computer architecturePipelining in computer architecture
Pipelining in computer architecture
 
Pipelining
PipeliningPipelining
Pipelining
 
Instruction pipelining
Instruction pipeliningInstruction pipelining
Instruction pipelining
 
Chapter6 pipelining
Chapter6  pipeliningChapter6  pipelining
Chapter6 pipelining
 
pipelining.pptx
pipelining.pptxpipelining.pptx
pipelining.pptx
 
Core pipelining
Core pipelining Core pipelining
Core pipelining
 
print.pptx
print.pptxprint.pptx
print.pptx
 
Pipelining and co processor.
Pipelining and co processor.Pipelining and co processor.
Pipelining and co processor.
 
CPU Pipelining and Hazards - An Introduction
CPU Pipelining and Hazards - An IntroductionCPU Pipelining and Hazards - An Introduction
CPU Pipelining and Hazards - An Introduction
 
Assembly p1
Assembly p1Assembly p1
Assembly p1
 
Pipeline Computing by S. M. Risalat Hasan Chowdhury
Pipeline Computing by S. M. Risalat Hasan ChowdhuryPipeline Computing by S. M. Risalat Hasan Chowdhury
Pipeline Computing by S. M. Risalat Hasan Chowdhury
 
Computer organisation and architecture .
Computer organisation and architecture .Computer organisation and architecture .
Computer organisation and architecture .
 
Pipelining 16 computers Artitacher pdf
Pipelining   16 computers Artitacher  pdfPipelining   16 computers Artitacher  pdf
Pipelining 16 computers Artitacher pdf
 
Pipelining in Computer System Achitecture
Pipelining in Computer System AchitecturePipelining in Computer System Achitecture
Pipelining in Computer System Achitecture
 
PIPELINE INTERRUPTS
PIPELINE INTERRUPTSPIPELINE INTERRUPTS
PIPELINE INTERRUPTS
 
Pipeline & Nonpipeline Processor
Pipeline & Nonpipeline ProcessorPipeline & Nonpipeline Processor
Pipeline & Nonpipeline Processor
 
Pipelining of Processors Computer Architecture
Pipelining of  Processors Computer ArchitecturePipelining of  Processors Computer Architecture
Pipelining of Processors Computer Architecture
 
A survey of paradigms for building and
A survey of paradigms for building andA survey of paradigms for building and
A survey of paradigms for building and
 
pipelining ppt.pdf
pipelining ppt.pdfpipelining ppt.pdf
pipelining ppt.pdf
 
L4 speeding-up-execution
L4 speeding-up-executionL4 speeding-up-execution
L4 speeding-up-execution
 

Mehr von Siddique Ibrahim (20)

List in Python
List in PythonList in Python
List in Python
 
Python Control structures
Python Control structuresPython Control structures
Python Control structures
 
Python programming introduction
Python programming introductionPython programming introduction
Python programming introduction
 
Data mining basic fundamentals
Data mining basic fundamentalsData mining basic fundamentals
Data mining basic fundamentals
 
Basic networking
Basic networkingBasic networking
Basic networking
 
Virtualization Concepts
Virtualization ConceptsVirtualization Concepts
Virtualization Concepts
 
Networking devices(siddique)
Networking devices(siddique)Networking devices(siddique)
Networking devices(siddique)
 
Osi model 7 Layers
Osi model 7 LayersOsi model 7 Layers
Osi model 7 Layers
 
Mysql grand
Mysql grandMysql grand
Mysql grand
 
Getting started into mySQL
Getting started into mySQLGetting started into mySQL
Getting started into mySQL
 
Micro programmed control
Micro programmed controlMicro programmed control
Micro programmed control
 
Hardwired control
Hardwired controlHardwired control
Hardwired control
 
interface
interfaceinterface
interface
 
Interrupt
InterruptInterrupt
Interrupt
 
Interrupt
InterruptInterrupt
Interrupt
 
DMA
DMADMA
DMA
 
Io devies
Io deviesIo devies
Io devies
 
Stack & queue
Stack & queueStack & queue
Stack & queue
 
Metadata in data warehouse
Metadata in data warehouseMetadata in data warehouse
Metadata in data warehouse
 
Data extraction, transformation, and loading
Data extraction, transformation, and loadingData extraction, transformation, and loading
Data extraction, transformation, and loading
 

Kürzlich hochgeladen

Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostLeverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostZilliz
 
Vertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsVertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsMiki Katsuragi
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii SoldatenkoFwdays
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsMark Billinghurst
 
Story boards and shot lists for my a level piece
Story boards and shot lists for my a level pieceStory boards and shot lists for my a level piece
Story boards and shot lists for my a level piececharlottematthew16
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...Fwdays
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Mark Simos
 
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdfHyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdfPrecisely
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubKalema Edgar
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Commit University
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationSlibray Presentation
 
DSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningDSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningLars Bell
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxNavinnSomaal
 
Advanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionAdvanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionDilum Bandara
 
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxMerck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxLoriGlavin3
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek SchlawackFwdays
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebUiPathCommunity
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsRizwan Syed
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity PlanDatabarracks
 
Take control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteTake control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteDianaGray10
 

Kürzlich hochgeladen (20)

Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostLeverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
 
Vertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsVertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering Tips
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR Systems
 
Story boards and shot lists for my a level piece
Story boards and shot lists for my a level pieceStory boards and shot lists for my a level piece
Story boards and shot lists for my a level piece
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
 
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdfHyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding Club
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck Presentation
 
DSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningDSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine Tuning
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptx
 
Advanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionAdvanced Computer Architecture – An Introduction
Advanced Computer Architecture – An Introduction
 
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxMerck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio Web
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL Certs
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity Plan
 
Take control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteTake control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test Suite
 

pipelining

  • 2. Overview  Pipelining is widely used in modern processors.  Pipelining improves system performance in terms of throughput.[No of work done at a given time]  Pipelined organization requires sophisticated compilation techniques.
  • 4. Making the Execution of Programs Faster  Use faster circuit technology to build the processor and the main memory.  Arrange the hardware so that more than one operation can be performed at the same time.  In the latter way, the number of operations performed per second is increased even though the elapsed time needed to perform any one operation is not changed.
  • 5. pipeline  It is technique of decomposing a sequential process into suboperation, with each suboperation completed in dedicated segment.  Pipeline is commonly known as an assembly line operation.  It is similar like assembly line of car manufacturing.  First station in an assembly line set up a chasis, next station is installing the engine, another group of workers fitting the body.
  • 6. Traditional Pipeline Concept Laundry Example Ann, Brian, Cathy, Dave each have one load of clothes to wash, dry, and fold Washer takes 30 minutes Dryer takes 40 minutes “Folder” takes 20 minutes A B C D
  • 7. Traditional Pipeline Concept  Sequential laundry takes 6 hours for 4 loads  If they learned pipelining, how long would laundry take? A B C D 30 40 20 30 40 20 30 40 20 30 40 20 6 PM 7 8 9 10 11 Midnight Time
  • 8. Traditional Pipeline Concept Pipelined laundry takes 3.5 hours for 4 loads A B C D 6 PM 7 8 9 10 11 Midnight T a s k O r d e r Time 30 40 40 40 40 20
  • 9. Traditional Pipeline Concept  Pipelining doesn’t help latency of single task, it helps throughput of entire workload  Pipeline rate limited by slowest pipeline stage  Multiple tasks operating simultaneously using different resources  Potential speedup = Number pipe stages  Unbalanced lengths of pipe stages reduces speedup  Time to “fill” pipeline and time to “drain” it reduces speedup  Stall for Dependences A B C D 6 PM 7 8 9 T a s k O r d e r Time 30 40 40 40 40 20
  • 10. Idea of pipelining in computer  The processor execute the program by fetching and executing instructions. One after the other.  Let Fi and Ei refer to the fetch and execute steps for instruction Ii
  • 11. Use the Idea of Pipelining in a Computer F 1 E 1 F 2 E 2 F 3 E 3 I1 I2 I3 (a) Sequential execution Instruction fetch unit Execution unit Interstage buffer B1 (b) Hardware organization Time F1 E1 F2 E2 F3 E3 I1 I2 I3 Instruction (c) Pipelined execution Figure 8.1. Basic idea of instruction pipelining. Clock cycle 1 2 3 4 Time Fetch + Execution
  • 12. Contd.,  Computer that has two separate hardware units, one for fetching and another for executing them.  the instruction fetched by the fetch unit is deposited in an intermediate buffer B1.  This buffer needed to enable the execution unit while fetch unit fetching the next instruction.
  • 13. 8.1(c)  The computer is controlled by a clock.  Any instruction fetch and execute steps completed in one clock cycle.
  • 14. Use the Idea of Pipelining in a Computer F4I4 F1 F2 F3 I1 I2 I3 D1 D2 D3 D4 E1 E2 E3 E4 W1 W2 W3 W4 Instruction Figure 8.2. A 4­stage pipeline. Clock cycle 1 2 3 4 5 6 7 (a) Instruction execution divided into four steps F : Fetch instruction D : Decode instruction and fetch operands E: Execute operation W : Write results Interstage buffers (b) Hardware organization B1 B2 B3 Time Fetch + Decode + Execution + Write Textbook page: 457
  • 15.  Fetch(F)- read the instruction from the memory  Decode(D)- Decode the instruction and fetch the source operand  Execute(E)- perform the operation specified by the instruction  Write(W)- store the result in the destination location
  • 16. Role of Cache Memory  Each pipeline stage is expected to complete in one clock cycle.  The clock period should be long enough to let the slowest pipeline stage to complete.  Faster stages can only wait for the slowest one to complete.  Since main memory is very slow compared to the execution, if each instruction needs to be fetched from main memory, pipeline is almost useless.[ten times greater than the time needed to perform pipeline stage]  Fortunately, we have cache.
  • 17. Pipeline Performance  The potential increase in performance resulting from pipelining is proportional to the number of pipeline stages.  However, this increase would be achieved only if all pipeline stages require the same time to complete, and there is no interruption throughout program execution.  Unfortunately, this is not true.  Floating point may involve many clock cycle
  • 18. Pipeline Performance F1 F2 F3 I1 I2 I3 E1 E2 E3 D1 D2 D3 W1 W2 W3 Instruction F4 D4I4 Clock cycle 1 2 3 4 5 6 7 8 9 Figure 8.3. Effect of an execution operation taking more than one clock cycle. E4 F5I5 D5 Time E5 W4
  • 19. Pipeline Performance  The previous pipeline is said to have been stalled for two clock cycles.  Any condition that causes a pipeline to stall is called a hazard.  Data hazard – any condition in which either the source or the destination operands of an instruction are not available at the time expected in the pipeline. So some operation has to be delayed, and the pipeline stalls.  Instruction (control) hazard – a delay in the availability of an instruction causes the pipeline to stall.[cache miss]  Structural hazard – the situation when two instructions require the use of a given hardware resource at the same time.
  • 20. Pipeline Performance F1 F2 F3 I1 I2 I3 D1 D2 D3 E1 E2 E3 W1 W2 W3 Instruction Figure 8.4. Pipeline stall caused by a cache miss in F2. 1 2 3 4 5 6 7 8 9Clock cycle (a) Instruction execution steps in successive clock cycles 1 2 3 4 5 6 7 8Clock cycle Stage F: Fetch D: Decode E: Execute W: Write F1 F2 F3 D1 D2 D3idle idle idle E1 E2 E3idle idle idle W1 W2idle idle idle (b) Function performed by each processor stage in successive clock cycles 9 W3 F2 F2 F2 Time Time Idle periods – stalls (bubbles) Instruction hazard(Cache miss) Decode unit is idle in cycles 3 through 5, Execute unit idle in cycle 4 through 6 and write unit is idle in cycle 5 through 7 such idle period is called stalls.
  • 21. Pipeline Performance F1 F2 F3 I1 I2 (Load) I3 E1 M2 D1 D2 D3 W1 W2 Instruction F4I4 Clock cycle 1 2 3 4 5 6 7 Figure 8.5. Effect of a Load instruction on pipeline timing. F5I5 D5 Time E2 E3 W3 E4D4 Load X(R1), R2 Structural hazard The memory address, X+(R1) is computed in step E2in cycle4, then memory access takes place in cycle5. the operand read from memory is written into register R2 in cycle 6[Execution takes 2 cycles] it stalls pipeline to stall for one cycle. Bcox both instruction I2 and I3 require access of register file in cycle 6.
  • 22. Pipeline Performance  Again, pipelining does not result in individual instructions being executed faster; rather, it is the throughput that increases.  Throughput is measured by the rate at which instruction execution is completed.  Pipeline stall causes degradation in pipeline performance.  We need to identify all hazards that may cause the pipeline to stall and to find ways to minimize their impact.
  • 23. Quiz  Four instructions, the I2 takes two clock cycles for execution. Pls draw the figure for 4- stage pipeline, and figure out the total cycles needed for the four instructions to complete.
  • 25. Data Hazards  We must ensure that the results obtained when instructions are executed in a pipelined processor are identical to those obtained when the same instructions are executed sequentially.  Hazard occurs A ← 3 + A B ← 4 × A  No hazard A ← 5 × C B ← 20 + C  When two operations depend on each other, they must be executed sequentially in the correct order.  Another example: Mul R2, R3, R4 Add R5, R4, R6
  • 26. Data Hazards F1 F2 F3 I1 (Mul) I2 (Add) I3 D1 D3 E1 E3 E2 W3 Instruction Figure 8.6. Pipeline stalled by data dependency between D2 and W1. 1 2 3 4 5 6 7 8 9Clock cycle W1 D2A W2 F4 D4 E4 W4I4 D2 Time Figure 8.6. Pipeline stalled by data dependency between D2 and W1.
  • 27. Operand Forwarding  Instead of from the register file, the second instruction can get data directly from the output of ALU after the previous instruction is completed.  A special arrangement needs to be made to “forward” the output of ALU to the input of ALU.
  • 29. Handling Data Hazards in Software  Let the compiler detect and handle the hazard: I1: Mul R2, R3, R4 NOP NOP I2: Add R5, R4, R6  The compiler can reorder the instructions to perform some useful work during the NOP slots.
  • 30. Side Effects  The previous example is explicit and easily detected.  Sometimes an instruction changes the contents of a register other than the one named as the destination.  When a location other than one explicitly named in an instruction as a destination operand is affected, the instruction is said to have a side effect. (Example?)  Example: conditional code flags: Add R1, R3 AddWithCarry R2, R4  Instructions designed for execution on pipelined hardware should have few side effects.
  • 32. Overview  Whenever the stream of instructions supplied by the instruction fetch unit is interrupted, the pipeline stalls.  Cache miss  Branch
  • 33. Unconditional Branches F2I2 (Branch) I3 Ik E2 F3 Fk Ek Fk+1 Ek+1Ik+1 Instruction Figure 8.8. An idle cycle caused by a branch instruction. Execution unit idle 1 2 3 4 5Clock cycle Time F1I1 E1 6 X
  • 34. Unconditional Branches  The time lost as a result of a branch instruction is referred to as the branch penalty.  The previous example instruction I3 is wrongly fetched and branch target address k will discard the i3.  Reducing the branch penalty requires the branch address to be computed earlier in the pipeline.  Typically the Fetch unit has dedicated h/w which will identify the branch target address as quick as possible after an instruction is fetched.
  • 35. Branch Timing X Figure 8.9. Branch timing. F1 D1 E1 W1 I2 (Branch) I1 1 2 3 4 5 6 7Clock cycle F2 D2 F3 X Fk Dk Ek Fk+1 Dk+1 I3 Ik Ik+1 Wk Ek+1 (b) Branch address computed in Decode stage F1 D1 E1 W1 I2 (Branch) I1 1 2 3 4 5 6 7Clock cycle F2 D2 F3 Fk Dk Ek Fk+1 Dk+1 I3 Ik Ik+1 Wk Ek+1 (a) Branch address computed in Execute stage E2 D3 F4 XI4 8 Time Time - Branch penalty - Reducing the penalty
  • 36. Instruction Queue and Prefetching  Either cache (or) branch instruction stalls the pipeline.  Many processor employs dedicated fetch unit which will fetch the instruction and put them into a queue.  It can store several instruction at a time.  A separate unit called dispatch unit, takes instructions from the front of the queue and send them to the execution unit.
  • 38. Conditional Braches  A conditional branch instruction introduces the added hazard caused by the dependency of the branch condition on the result of a preceding instruction.  The decision to branch cannot be made until the execution of that instruction has been completed.  Branch instructions represent about 20% of the dynamic instruction count of most programs.
  • 39. Delayed Branch  The instructions in the delay slots are always fetched. Therefore, we would like to arrange for them to be fully executed whether or not the branch is taken.  The objective is to place useful instructions in these slots.  The effectiveness of the delayed branch approach depends on how often it is possible to reorder instructions.
  • 40. Delayed Branch Add LOOP Shift_left R1 Decrement Branch=0 R2 LOOP NEXT (a) Original program loop LOOP Decrement R2 Branch=0 Shift_left LOOP R1 NEXT (b) Reordered instructions Figure 8.12. Reordering of instructions for a delayed branch. Add R1,R3 R1,R3
  • 41. Delayed Branch F E F E F E F E F E F E F E Instruction Decrement Branch Shift (delay slot) Figure 8.13. Execution timing showing the delay slot being filled during the last two passes through the loop in Figure 8.12. Decrement (Branch taken) Branch Shift (delay slot) Add (Branch not taken) 1 2 3 4 5 6 7 8Clock cycle Time
  • 42. Branch Prediction  To predict whether or not a particular branch will be taken.  Simplest form: assume branch will not take place and continue to fetch instructions in sequential address order.  Until the branch is evaluated, instruction execution along the predicted path must be done on a speculative basis.  Speculative execution: instructions are executed before the processor is certain that they are in the correct execution sequence.  Need to be careful so that no processor registers or memory locations are updated until it is confirmed that these instructions should indeed be executed.
  • 43. Incorrectly Predicted Branch F1 F2 I1  (Compare) I2 (Branch>0) I3 D1 E1 W1 F3 F4 Fk Dk D3 X XI4 Ik Instruction Figure 8.14. Timing when a branch decision has been incorrectly predicted as not taken. E2 Clock cycle 1 2 3 4 5 6 D2/P2 Time
  • 44. Branch Prediction  Better performance can be achieved if we arrange for some branch instructions to be predicted as taken and others as not taken.  Use hardware to observe whether the target address is lower or higher than that of the branch instruction.  Let compiler include a branch prediction bit.  So far the branch prediction decision is always the same every time a given instruction is executed – static branch prediction.
  • 46. Overview  Some instructions are much better suited to pipeline execution than others.  Addressing modes  Conditional code flags
  • 47. Addressing Modes  Addressing modes include simple ones and complex ones.  In choosing the addressing modes to be implemented in a pipelined processor, we must consider the effect of each addressing mode on instruction flow in the pipeline:  Side effects  The extent to which complex addressing modes cause the pipeline to stall  Whether a given mode is likely to be used by compilers
  • 48. Recall F1 F2 F3 I1 I2 (Load) I3 E1 M2 D1 D2 D3 W1 W2 Instruction F4I4 Clock cycle 1 2 3 4 5 6 7 Figure 8.5. Effect of a Load instruction on pipeline timing. F5I5 D5 Time E2 E3 W3 E4D4 Load X(R1), R2 Load (R1), R2
  • 49. Complex Addressing Mode F F D D E X +[R1] [X +[R1]] [[X +[R1]]]Load Next instruction (a) Complex addressing mode W 1 2 3 4 5 6 7Clock cycle Time W Forward Load (X(R1)), R2
  • 50. Simple Addressing Mode X + [R1]F D F F F D D D E [X +[R1]] [[X +[R1]]] Add Load Load Next instruction (b) Simple addressing mode W W W W Add #X, R1, R2 Load (R2), R2 Load (R2), R2
  • 51. Addressing Modes  In a pipelined processor, complex addressing modes do not necessarily lead to faster execution.  Advantage: reducing the number of instructions / program space  Disadvantage: cause pipeline to stall / more hardware to decode / not convenient for compiler to work with  Conclusion: complex addressing modes are not suitable for pipelined execution.
  • 52. Addressing Modes  Good addressing modes should have:  Access to an operand does not require more than one access to the memory  Only load and store instruction access memory operands  The addressing modes used do not have side effects  Register, register indirect, index
  • 53. Conditional Codes  If an optimizing compiler attempts to reorder instruction to avoid stalling the pipeline when branches or data dependencies between successive instructions occur, it must ensure that reordering does not cause a change in the outcome of a computation.  The dependency introduced by the condition- code flags reduces the flexibility available for the compiler to reorder instructions.
  • 55. Conditional Codes  Two conclusion:  To provide flexibility in reordering instructions, the condition-code flags should be affected by as few instruction as possible.  The compiler should be able to specify in which instructions of a program the condition codes are affected and in which they are not.
  • 57. Original Design Memory bus data lines Figure 7.8. Three­b us organization of the datapath. Bus A Bus B Bus C Instruction decoder PC Register file Constant 4 ALU MDR A B R MUX Incrementer Address lines MAR IR
  • 58. Instruction cache Figure 8.18. Datapath modified for pipelined execution, with Bus A Bus B Control signal pipeline IMAR PC Register file ALU Instruction A B R decoder Incrementer MDR/Write Instruction queue Bus C Data cache Memory address MDR/ReadDMAR Memory address (Instruction fetches) (Data access) interstage buffers at the input and output of the ALU. Pipelined Design - Separate instruction and data caches - PC is connected to IMAR - DMAR - Separate MDR - Buffers for ALU - Instruction queue - Instruction decoder output - Reading an instruction from the instruction cache - Incrementing the PC - Decoding an instruction - Reading from or writing into the data cache - Reading the contents of up to two regs - Writing into one register in the reg file - Performing an ALU operation
  • 60.  Pipeline architecture can executes several instruction concurrently.  Many instructions are present in the pipeline at the same time,but they are in different stages of their execution.  While instruction being fetched at the same time another instruction being decoded stage (or) execution.  One instruction completes execution in each clock cycle.
  • 61. Overview  The maximum throughput of a pipelined processor is one instruction per clock cycle.  If we equip the processor with multiple processing units to handle several instructions in parallel in each processing stage, several instructions start execution in the same clock cycle – multiple-issue.  Processors are capable of achieving an instruction execution throughput of more than one instruction per cycle – superscalar processors.  Multiple-issue requires a wider path to the cache and multiple execution units to keep the instruction queue to be filled.
  • 62.  The superscalar operation have multiple execution units.
  • 64. Architecture  The above fig. shows the superscalar processor with two execution unit.  The Fetch unit capable of reading two instruction at a time and store it in the queue.  The dispatch unit decodes upto two instruction from the front of queue(one is integer and another one is floating point) dispatched in the same clock cycle.  Processor’s program control unit – capable of fetching and decoding several instruction concurrently. It can issue multiple instructions simultaneously.
  • 65. Timing I1 (Fadd) D1 D2 D3 D4 E1A E1B E1C E2 E3 E3 E3 E4 W1 W2 W3 W4 I2 (Add) I3  (Fsub) I4  (Sub) Figure 8.20. An example of instruction execution flow in the processor of Figure 8.19, assuming no hazards are encountered.   1 2 3 4 5 6Clock cycle Time F1 F2 F3 F4 7
  • 66. Assume Floating point takes 3 clock cycles 5. Assume floating point unit as a 3 stage pipeline. So it can accept a new instruction for execution in each clock cycle. During cycle 4 the execution of I1 in progress but it will enter the different stages inside the execution pipleline, so this unit accept for I3 for execution. 6. The integer unit can accept new instruction for execution because I2 has entered into the write stage.
  • 67. Out-of-Order Execution  Hazards  Exceptions  Imprecise exceptions  Precise exceptions I1 (Fadd) D1 D2 D3 D4 E1A E1B E1C E2 E3A E3B E3C E4 W1 W2 W3 W4 I2 (Add) I3  (Fsub) I4  (Sub) 1 2 3 4 5 6Clock cycle Time (a) Delayed write F1 F2 F3 F4 7
  • 68. Execution Completion  It is desirable to used out-of-order execution, so that an execution unit is freed to execute other instructions as soon as possible.  At the same time, instructions must be completed in program order to allow precise exceptions.  The use of temporary registers  Commitment unit I1 (Fadd) D1 D2 D3 D4 E1A E1B E1C E2 E3A E3B E3C E4 W1 W2 W3 W4 I2 (Add) I3  (Fsub) I4  (Sub) 1 2 3 4 5 6Clock cycle Time (b) Using temporary registers TW2 TW4 7 F1 F2 F3 F4
  • 69.  If I2 depends on the result of I1, the execution of I2 will be delayed. These dependencies are handled correctly,as long as the execution of the instruction will not be delayed.  one more reason which delays the execution is,  Exception Two causes:  Bus error  Illegal operation(divide by zero)
  • 70. Two types of Exception * Imprecise * Precise  Imprecise- the result of I2 written into RF during cycle 4. suppose I1 causes an exception, the processor allows to complete execution of succeeding instruction(I2) is said to have imprecise exception.  Precise-in imprecise exception, consistent state is not guaranteed, when an exception occurs.(The processor will not allow to write the succeeding instruction)  In consistent state, the result of the instruction must be written into the program order(ie. The I2 must be allow to written till cycle 6.
  • 71.  The integer execution unit has to retain the result until cycle 6 and it cannot accept instruction I4 until cycle 6.  Thus, in this method the output is partially executed (or) discarded. I1 (Fadd) D1 D2 E1A E1B E1C E2 W1 W2 I2 (Add) 1 2 3 4 5 6Clock cycle Time F1 F2 7
  • 72.  If an external interrupt is received, the dispatch unit stops reading new instructions from instruction queue, and the instruction remaining in the queue are discarded.
  • 73. Execution Completion  In precise exception, the results are temporarily stored into the temp register and later they are transferred to the permanent registers in correct program order.  Thus, two write operations TW and W are carried out.  The step W are called commitment step(temp reg to perm register)  TW- write into a temp registers  W- Transfer the contents back to the permanent reg I1 (Fadd) D1 D2 E1A E1B E1C E2 W1 W2 I2 (Add) 1 2 3 4 5 6Clock cycle TW2 7 F1 F2
  • 74. Register renaming  A temporary register assumes the role of the permanent register whose data it is holding and is given the same name.
  • 76. Overview  The execution time T of a program that has a dynamic instruction count N is given by: where S is the average number of clock cycles it takes to fetch and execute one instruction, and R is the clock rate.  Instruction throughput is defined as the number of instructions executed per second. R SN T × = S R Ps =
  • 77. Overview  An n-stage pipeline has the potential to increase the throughput by n times.  However, the only real measure of performance is the total execution time of a program.  Higher instruction throughput will not necessarily lead to higher performance.  Two questions regarding pipelining  How much of this potential increase in instruction throughput can be realized in practice?  What is good value of n?
  • 78. Number of Pipeline Stages  Since an n-stage pipeline has the potential to increase the throughput by n times, how about we use a 10,000-stage pipeline?  As the number of stages increase, the probability of the pipeline being stalled increases.  The inherent delay in the basic operations increases.  Hardware considerations (area, power, complexity, …)